{
 "metadata": {
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.5"
  },
  "orig_nbformat": 2,
  "kernelspec": {
   "name": "python385jvsc74a57bd019d5effd8ee1311358e509780eb3ba0aa603f088884d2fee5afc3922f78377a9",
   "display_name": "Python 3.8.5 64-bit ('base': conda)"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2,
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "every thing is ok\n\nshape of (2,)\n(2,)\n"
     ]
    }
   ],
   "source": [
    "import sys, os\n",
    "import torch\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "print(\"every thing is ok\\n\")\n",
    "input = np.array([3,4])\n",
    "print('shape of {}'.format(input.shape))\n",
    "print(input.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ]
}